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类蛋白-肌动蛋白网络的形态学和电学性质

Morphological and Electrical Properties of Proteinoid-Actin Networks.

作者信息

Mougkogiannis Panagiotis, Adamatzky Andrew

机构信息

Unconventional Computing Laboratory, University of the West of England, Bristol BS16 1QY, U.K.

出版信息

ACS Omega. 2025 Jan 27;10(5):4952-4977. doi: 10.1021/acsomega.4c10488. eCollection 2025 Feb 11.

Abstract

Proteinoids, or thermal proteins, are produced by heating amino acids. Proteinoids form hollow microspheres in water. The microspheres produce oscillation of electrical potential. Actin is a filament-forming protein responsible for communication, information processing and decision making in eukaryotic cells. We synthesize randomly organized networks of proteinoid microspheres spanned by actin filaments and study their morphology and electrical potential oscillatory dynamics. We analyze proteinoid-actin networks' responses to electrical stimulation. The signals come from logistic maps, the Lorenz attractor, the Rossler oscillator, and the FitzHugh-Nagumo system. We show how the networks attenuated the signals produced by these models. We demonstrate that emergent logical patterns derived from oscillatory behavior of proteinoid-actin networks show characteristics of Boolean logic gates, providing evidence for the computational ability to combine different components through architectural changes in the dynamic interface. Our experimental laboratory study paves a base for generation of proto-neural networks and implementation of neuromorphic computation with them.

摘要

类蛋白,即热蛋白,是通过加热氨基酸产生的。类蛋白在水中形成中空微球。这些微球会产生电位振荡。肌动蛋白是一种形成细丝的蛋白质,负责真核细胞中的通讯、信息处理和决策。我们合成了由肌动蛋白丝跨越的类蛋白微球随机组织网络,并研究了它们的形态和电位振荡动力学。我们分析了类蛋白 - 肌动蛋白网络对电刺激的反应。信号来自逻辑映射、洛伦兹吸引子、罗斯勒振荡器和菲茨休 - 纳古莫系统。我们展示了网络如何衰减这些模型产生的信号。我们证明,源自类蛋白 - 肌动蛋白网络振荡行为的涌现逻辑模式表现出布尔逻辑门的特征,为通过动态界面的结构变化组合不同组件的计算能力提供了证据。我们的实验性实验室研究为原神经网络的生成以及用它们实现神经形态计算奠定了基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c072/11822495/ae83951ae355/ao4c10488_0001.jpg

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